HPE2-T38 無料問題集「HPE AI and Machine Learning」

（A）HPE solutions are typically more user-friendly

（B）Open-source versions are always easier to use

（C）Neither offers ease of use

（D）Both are equally complex

（A）By enhancing the ability to predict and mitigate risks

（B）By focusing only on financial risks

（C）By increasing risk exposure

（D）By ignoring potential risks

（A）By providing a platform for two-way communication

（B）By decreasing brand visibility

（C）By automating customer services

（D）By limiting customer interactions

（A）They have no impact on product development

（B）They hinder the development of new products

（C）They focus only on replicating existing products

（D）They contribute to more innovative and effective product development

（A）The geographic distribution of the servers

（B）The kit,s ability to handle increasing computational loads

（C）The number of users that can use the kit simultaneously

（D）The physical size of the hardware

（A）The programming language used to build a model

（B）The cost of deploying a model

（C）The storage capacity required for a model

（D）A model,s preference for certain data

（A）Focusing only on internal regulations

（B）Assisting in adherence to industry standards and regulations

（C）Increasing the complexity of compliance

（D）Ignoring regulatory requirements

（A）It has no role in model deployment

（B）By deploying models automatically without user intervention

（C）By recommending only cloud-based deployment

（D）By providing tools and guidelines for efficient deployment

（A）Support Vector Machines

（B）Apriori Algorithm

（C）Linear Regression

（D）Principal Component Analysis

（A）Logistic Regression

（B）K-Means Clustering

（C）Decision Trees

（D）Linear Regression